metadata
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: resnet-50-finetuned-galaxy10-decals
results: []
resnet-50-finetuned-galaxy10-decals
This model is a fine-tuned version of microsoft/resnet-50 on the matthieulel/galaxy10_decals dataset. It achieves the following results on the evaluation set:
- Loss: 1.5789
- Accuracy: 0.4138
- Precision: 0.4493
- Recall: 0.4138
- F1: 0.3134
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 2.2417 | 0.9940 | 124 | 2.2265 | 0.2373 | 0.0697 | 0.2373 | 0.1077 |
| 2.1616 | 1.9960 | 249 | 2.1268 | 0.1950 | 0.1132 | 0.1950 | 0.0889 |
| 2.0459 | 2.9980 | 374 | 1.9901 | 0.2401 | 0.1029 | 0.2401 | 0.1290 |
| 1.9203 | 4.0 | 499 | 1.8571 | 0.3303 | 0.3116 | 0.3303 | 0.2052 |
| 1.8347 | 4.9940 | 623 | 1.7692 | 0.3613 | 0.2694 | 0.3613 | 0.2457 |
| 1.7628 | 5.9960 | 748 | 1.6926 | 0.3850 | 0.4172 | 0.3850 | 0.2758 |
| 1.723 | 6.9980 | 873 | 1.6342 | 0.3985 | 0.4428 | 0.3985 | 0.2922 |
| 1.71 | 8.0 | 998 | 1.6071 | 0.4104 | 0.4369 | 0.4104 | 0.3122 |
| 1.6948 | 8.9940 | 1122 | 1.5789 | 0.4138 | 0.4493 | 0.4138 | 0.3134 |
| 1.656 | 9.9399 | 1240 | 1.5805 | 0.4053 | 0.4176 | 0.4053 | 0.3034 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1